Searchable abstracts of presentations at key conferences in endocrinology

ea0049nsa1 | (1) | ECE2017

Identifying molecular signatures for cancer patient stratification via metabolomics and integrative bioinformatics

Keun Hector

Altered metabolism in tumor cells is required for rapid proliferation but also can influence other phenotypes that affect clinical outcomes such as metastasis and sensitivity to chemotherapy. Integration of metabolome and transcriptome data for the NCI-60 panel of cancer cells lines allowed us to identify ecto-5′-nucleotidase (NT5E or CD73) and miRNA-22 as a major determinants of metabolic phenotypes in cancer cells. NT5E expression and associated metabolome variations w...